| Sequence to sequence learning with neural networks I Sutskever, O Vinyals, QV Le Advances in NIPS, 2014 | 8471 | 2014 |
| Distributed representations of sentences and documents Q Le, T Mikolov International conference on machine learning, 1188-1196, 2014 | 4767 | 2014 |
| Large scale Distributed Deep Networks AYN J. Dean, G.S. Corrado, R. Monga, K. Chen, M. Devin Advances In Neural Information Processing Systems 25 (7), 2012 | 2265* | 2012 |
| Building high-level features using large scale unsupervised learning QV Le, MA Ranzato, R Monga, M Devin, K Chen, GS Corrado, J Dean, ... International Conference on Machine Learning, 2012 | 2015 | 2012 |
| Google's neural machine translation system: Bridging the gap between human and machine translation Y Wu, M Schuster, Z Chen, QV Le, M Norouzi, W Macherey, M Krikun, ... arXiv preprint arXiv:1609.08144, 2016 | 1962 | 2016 |
| Neural architecture search with reinforcement learning B Zoph, QV Le arXiv preprint arXiv:1611.01578, 2016 | 1073 | 2016 |
| Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis QV Le, WY Zou, SY Yeung, AY Ng CVPR 2011, 3361-3368, 2011 | 1052 | 2011 |
| A neural conversational model O Vinyals, Q Le arXiv preprint arXiv:1506.05869, 2015 | 1000 | 2015 |
| Listen, attend and spell: A neural network for large vocabulary conversational speech recognition W Chan, N Jaitly, Q Le, O Vinyals 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 894* | 2016 |
| Learning transferable architectures for scalable image recognition B Zoph, V Vasudevan, J Shlens, QV Le Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 891 | 2018 |
| Exploiting similarities among languages for machine translation T Mikolov, QV Le, I Sutskever arXiv preprint arXiv:1309.4168, 2013 | 801 | 2013 |
| On optimization methods for deep learning QV Le, J Ngiam, A Coates, A Lahiri, B Prochnow, AY Ng Proceedings of the 28th International Conference on International Conference …, 2011 | 757 | 2011 |
| Learning to rank with nonsmooth cost functions CJCBRR Quoc, V Le Advances in Neural Information Processing Systems 19: Proceedings of the …, 2007 | 654* | 2007 |
| Grounded compositional semantics for finding and describing images with sentences R Socher, A Karpathy, QV Le, CD Manning, AY Ng Transactions of the Association for Computational Linguistics 2, 207-218, 2014 | 584 | 2014 |
| Google’s multilingual neural machine translation system: Enabling zero-shot translation M Johnson, M Schuster, QV Le, M Krikun, Y Wu, Z Chen, N Thorat, ... Transactions of the Association for Computational Linguistics 5, 339-351, 2017 | 530 | 2017 |
| Addressing the rare word problem in neural machine translation MT Luong, I Sutskever, QV Le, O Vinyals, W Zaremba arXiv preprint arXiv:1410.8206, 2014 | 487 | 2014 |
| Semi-supervised sequence learning AM Dai, QV Le Advances in neural information processing systems, 3079-3087, 2015 | 473 | 2015 |
| Large-scale evolution of image classifiers E Real, S Moore, A Selle, S Saxena, YL Suematsu, J Tan, QV Le, ... Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017 | 423 | 2017 |
| Tacotron: Towards end-to-end speech synthesis Y Wang, RJ Skerry-Ryan, D Stanton, Y Wu, RJ Weiss, N Jaitly, Z Yang, ... arXiv preprint arXiv:1703.10135, 2017 | 417* | 2017 |
| Learning graph matching TS Caetano, JJ McAuley, L Cheng, QV Le, AJ Smola IEEE transactions on pattern analysis and machine intelligence 31 (6), 1048-1058, 2009 | 415 | 2009 |
Oriol VinyalsResearch Scientist at Google DeepMindVerified email at google.com
